Michael J. Frank

Brown University, Providence, RI 
computational models, basal ganglia, reinforcement learning, decision making
"Michael Frank"
Mean distance: 13.61 (cluster 23)
Cross-listing: Computational Biology Tree


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Randall C. O'Reilly grad student 1999-2004 CU Boulder
 (Dynamic dopamine modulation of striato-cortical circuits in cognition: Converging neuropsychological, psychopharmacological and computational studies.)
Tim Curran post-doc 2004-2005 CU Boulder


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Wasita Mahaphanit research assistant 2018- Brown
Thomas V. Wiecki grad student Brown
Alana Jaskir grad student 2018-
Shikhar Kumar grad student 2007-2009 University of Arizona
Nicholas T Franklin grad student 2011-2017 Brown
Harrison Ritz grad student 2016-2021 Brown
Ahmed A. Moustafa post-doc Rutgers, New Brunswick
Matt R. Nassar post-doc Brown
Anne GE Collins post-doc 2010- Brown
Debbie M. Yee post-doc 2019- Brown
James F. Cavanagh post-doc 2010-2013 Brown
BETA: Related publications


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Franklin NT, Frank MJ. (2020) Generalizing to generalize: Humans flexibly switch between compositional and conjunctive structures during reinforcement learning. Plos Computational Biology. 16: e1007720
Browning M, Carter CS, Chatham C, et al. (2020) Realizing the Clinical Potential of Computational Psychiatry: Report From the Banbury Center Meeting, February 2019. Biological Psychiatry
Nassar MR, Bruckner R, Frank MJ. (2019) Statistical context dictates the relationship between feedback-related EEG signals and learning. Elife. 8
Lawlor VM, Webb CA, Wiecki TV, et al. (2019) Dissecting the impact of depression on decision-making. Psychological Medicine. 1-10
Cavanagh JF, Bismark AW, Frank MJ, et al. (2019) Multiple Dissociations Between Comorbid Depression and Anxiety on Reward and Punishment Processing: Evidence From Computationally Informed EEG. Computational Psychiatry (Cambridge, Mass.). 3: 1-17
Jang AI, Nassar MR, Dillon DG, et al. (2019) Positive reward prediction errors during decision-making strengthen memory encoding. Nature Human Behaviour
Matar E, Shine JM, Gilat M, et al. (2019) Identifying the neural correlates of doorway freezing in Parkinson's disease. Human Brain Mapping
Hernaus D, Frank MJ, Brown EC, et al. (2018) Impaired Expected Value Computations in Schizophrenia Are Associated With a Reduced Ability to Integrate Reward Probability and Magnitude of Recent Outcomes. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
Kasanova Z, Ceccarini J, Frank MJ, et al. (2018) Daily-life stress differentially impacts ventral striatal dopaminergic modulation of reward processing in first-degree relatives of individuals with psychosis. European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology. 28: 1314-1324
Nassar MR, Helmers JC, Frank MJ. (2018) Chunking as a rational strategy for lossy data compression in visual working memory. Psychological Review. 125: 486-511
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